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Remote Environmental Data Scientist Jobs in Kansas

Role & Team We are excited to add a Staff Data Scientist, Wildfire to our team. This individual ... Peer-reviewed publications in wildfire science, remote sensing, or environmental modeling

CrowdStrike is seeking an exceptional Senior Data Scientist to join our NGSIEM Agentic AI team. In this role, you will design, build and deploy advanced AI systems that analyze and prioritize ...

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

If this sounds like an environment where you'd thrive, read on to learn more. WHAT YOU'LL DO The ... You will work a hybrid schedule from our Leawood, KS or will consider remote within the United ...

... data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk ... You have a background in wildfire science, forestry, or remote sensing * Strong background in deep ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... learn in a dynamic environment Preferred: * Prior exposure to claims databases (Medicare ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... learn in a dynamic environment Preferred: * Prior exposure to claims databases (Medicare ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... learn in a dynamic environment Preferred: * Prior exposure to claims databases (Medicare ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... learn in a dynamic environment Preferred: * Prior exposure to claims databases (Medicare ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... learn in a dynamic environment Preferred: * Prior exposure to claims databases (Medicare ...

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

... science across NinjaOne's expanding product offering. You'll build the pipelines and data ... a fast-paced environment. Location -- We are flexible on remote working from home, if you are ...

$98K - $118K/yr

Minimum 5+ years working in Data Science. * We expect you to have a passion and experience in ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

... data scientists who depend on it. This is an exciting opportunity to work on greenfield ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

... data scientists who depend on it. This is an exciting opportunity to work on greenfield ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

... scientists, analysts, solutions partners, and other stakeholders to increase data quality, accessibility, and security. Location: This is a remote position. Candidates located within 50 miles of ...

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Remote Environmental Data Scientist information

What is a remote environmental data scientist?

A Remote Environmental Data Scientist is a professional who analyzes and interprets environmental data, such as climate metrics, pollution levels, or ecosystem health, while working from a location outside of a traditional office setting. They use statistical tools, programming languages, and data visualization techniques to draw insights and support environmental projects or policy decisions. This role often involves collaborating with teams virtually, accessing remote databases, and communicating findings to stakeholders. Remote Environmental Data Scientists play a crucial role in addressing environmental challenges by providing actionable data-driven insights.

What are the key skills and qualifications needed to thrive as a remote environmental data scientist?

To thrive as a Remote Environmental Data Scientist, you need a strong background in statistics, environmental science, and data analysis, usually supported by a degree in a relevant field. Proficiency in programming languages like Python or R, GIS software, and experience with remote sensing data are typically required, along with certifications in data science or environmental analysis. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating remotely and translating data insights into actionable environmental solutions. These abilities are essential for accurately analyzing complex environmental data, informing policy, and driving sustainable initiatives from a remote setting.

How does a remote environmental data scientist typically collaborate with cross-functional teams while working offsite?

Remote Environmental Data Scientists often work closely with diverse teams, such as field researchers, software developers, and policy analysts, using digital collaboration tools like Slack, Zoom, and cloud-based data platforms. Effective communication and regular virtual meetings are essential for aligning on project goals, sharing data findings, and integrating insights into actionable recommendations. While remote work provides flexibility, it also requires strong self-management and proactive outreach to ensure seamless collaboration and data integrity across geographically dispersed teams.

What is the difference between Remote Environmental Data Scientist vs Remote Environmental Analyst?

AspectRemote Environmental Data ScientistRemote Environmental Analyst
Required CredentialsBachelor's or Master's in Environmental Science, Data Science, or related fields; proficiency in data analysis toolsBachelor's in Environmental Science, Geography, or related fields; basic data analysis skills
Work EnvironmentPrimarily remote, involving data modeling, analysis, and programmingPrimarily remote, focusing on data collection, reporting, and environmental assessments
Employer & Industry UsageUsed by environmental consulting firms, research institutions, and government agencies for data-driven decision makingEmployed by environmental agencies, NGOs, and consulting firms for environmental monitoring and reporting

The main difference is that Remote Environmental Data Scientists focus on advanced data analysis, modeling, and programming to interpret environmental data, while Remote Environmental Analysts concentrate on collecting data, preparing reports, and supporting environmental assessments. Both roles are essential in environmental sectors but differ in technical complexity and daily tasks.

What are popular job titles related to Remote Environmental Data Scientist jobs in Kansas?

For Remote Environmental Data Scientist jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Remote Environmental Data Scientist jobs in Kansas look for?

The top searched job categories for Remote Environmental Data Scientist jobs in Kansas are:

What cities in Kansas are hiring for Remote Environmental Data Scientist jobs?

Cities in Kansas with the most Remote Environmental Data Scientist job openings:

Staff Data Scientist - Wildfire

Overstory

On-site, Remote

Full-time

Posted 21 days ago


Key responsibilities

  • Lead research into estimating vegetation structure, fuel conditions, and wildfire risk from satellite, LiDAR, and environmental data across diverse geographies

  • Design validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis

  • Prototype and refine machine learning modeling approaches, then collaborate with ML engineers to implement them into production systems


Job description

Role & Team

We are excited to add a Staff Data Scientist, Wildfire to our team. This individual will lead the scientific foundation of our Fuel Detection Model, the core engine that translates satellite and environmental data into an understanding of vegetation structure, fuel loads, and wildfire risk.
Working alongside ML engineers, and a product team, you'll define accuracy for our models, design the research and validation methods that prove it, and ensure our modeling choices are grounded in fire science and remote sensing fundamentals. This is a great opportunity for someone who is energized by open scientific questions with direct real-world stakes, and who wants their research to shape how utilities prevent catastrophic wildfires.

Time Zone Requirement: North America (NST, AST, EST, CST, MST, PST)

What You'll Do
  • Lead research into how vegetation structure, fuel conditions, and wildfire risk can be estimated from satellite, LiDAR, and environmental data across diverse geographies
  • Design rigorous validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis tied to real-world impact
  • Prototype and refine ML modeling approaches, then partner with ML engineers to translate them into production systems
  • Integrate established fire science, such as fuel models and fire behavior frameworks, with data-driven methods
  • Define scientific standards for experimentation, reproducibility, and model interpretability across the modeling organization
  • Communicate research findings clearly to engineers, product teams, customers, and the broader wildfire science community
  • Mentor ML engineers on scientific methodology and domain reasoning
Skills & Experience
  • 8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, remote sensing, atmospheric science, or a related quantitative field
  • Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery and large-scale environmental datasets
  • Strong statistical modeling and machine learning skills in Python, with tools like GeoPandas, scikit-learn, PyTorch, or XGBoost
  • Track record of designing validation studies and evaluation frameworks for environmental or geospatial models
  • Excellent communication skills, with the ability to make complex scientific work legible across technical and non-technical audience
Nice To Have
  • Familiarity with fire behavior or fuels modeling frameworks (e.g., Rothermel-based models, LANDFIRE fuel classifications)
  • Experience integrating physics-based models with ML, or with active learning and uncertainty quantification
  • Peer-reviewed publications in wildfire science, remote sensing, or environmental modeling
  • Familiarity with GCP, Vertex AI, or similar cloud-based platforms
  • Experience in remote-first or globally distributed team

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer
  • Competitive, location-specific compensation and benefits 
  • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
  • Home office stipend, co-working and ongoing education budgets 
  • A company culture that genuinely embodies each of our core values
  • To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis